Media Summary: [ACL 2022 Findings] Comparing the Effects of Data Modification on Robustness and Generalization The vast majority of text transformation techniques in NLP are inherently limited in their ability to expand input space coverage ... Combining Feature and Instance Attribution to Detect Artifacts Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron Wallace ...
Acl 2022 Findings Comparing The - Detailed Analysis & Overview
[ACL 2022 Findings] Comparing the Effects of Data Modification on Robustness and Generalization The vast majority of text transformation techniques in NLP are inherently limited in their ability to expand input space coverage ... Combining Feature and Instance Attribution to Detect Artifacts Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron Wallace ... Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang. Abstract In simultaneous speech translation (SimulST), This is the workshop presentation for the paper "When Can Models Learn From Explanations? A Formal Framework for ...
Ibrahim Taha Aksu, Zhengyuan Liu, Min-Yen Kan and Nancy F. Chen ( Authors: Clara Isabel Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell Abstract: When generating natural language from ... Authors: Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell Abstract: A central quest of probing is to ... Authors: Alexander Immer, Lucas Torroba Hennigen, Vincent Fortuin, Ryan Cotterell Abstract: Pre-trained contextual ...
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